AI Coding Agents & Lakebase on Databricks

AI coding agents are easy to start, but hard to share, control and keep an eye on once a whole team uses them. At our last meetup of 2026, we look at how to do that on Databricks, then go from OLTP to AI with Databricks Lakebase.

Expect two short, practical talks, good food, Databricks merch and plenty of time to talk shop with the data and AI community in Skåne.

SESSIONS
Omnigent: sharing and governing coding agents on Databricks
Victor Gutierrez Castillo, Senior Solutions Engineer, Databricks
AI coding agents are easy to start, but hard to share, control and keep an eye on once a team uses them. Victor shows how Omnigent on Databricks lets you share a running agent session, and how policies and your Databricks workspace help keep costs and actions under control.

From OLTP to AI: Understanding Databricks Lakebase
Adeyemi Adedokun, Senior Data Engineer, Knowit
Operational databases and analytics usually live in separate worlds. Databricks Lakebase brings a fully managed Postgres database into the Databricks platform. Adeyemi explains what Lakebase is, how it works alongside your Delta tables and Unity Catalog, and how it takes you from transactional workloads to AI-powered apps.

AGENDA
17:00 Doors open: food, drinks and mingling
17:30 Welcome
17:35 Omnigent (Victor Gutierrez Castillo, Databricks)
18:00 From OLTP to AI: Understanding Databricks Lakebase (Adeyemi Adedokun, Knowit)
18:25 Networking and Databricks merch
19:00 Wrap-up
Each talk is 20 minutes plus 5 minutes for questions.

GOOD TO KNOW
📍 Knowit, Stortorget 9, Malmö (about 10 minutes' walk from Malmö C)
🍽️ Hosted and sponsored by Knowit, with food and drinks
👕 Best question in each talk wins a Databricks User Groups T-shirt
🎁 Databricks merch for attendees
🗣️ Talks are in English
🎟️ Free to attend, limited seats. Please RSVP so we can plan food, and update your RSVP if you can't make it so someone on the waitlist gets your spot.

For data engineers, architects, ML and AI engineers and anyone in Skåne working with Databricks on Azure, AWS or GCP, or curious about it. All levels welcome.